# SeleneDB

> SeleneDB — jscott3201-selenedb. Use this tool when you need to efficiently store and query complex graph data across various platforms, from edge devices to cloud environments. SeleneDB solves data management problems by providing a lightweight, scalable, and AI-optimized graph database solution. It takes in graph data as input and outputs queried results, ideal for use cases requiring flexible and high-performance data storage.

Canonical page: https://skillsregistry.net/skills/jscott3201-selenedb  
JSON: https://api.skillsregistry.net/v1/skills/jscott3201-selenedb

## Description

The AI-native graph database. Pure Rust, single binary, runs everywhere from a Raspberry Pi to a cloud VM.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/jscott3201/SeleneDB)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jscott3201-selenedb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jscott3201-selenedb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jscott3201-selenedb/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt